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HITACHI DYNAMIC TIERING
(HDT): AN IN-DEPTH LOOK AT
MANAGING HDT AND BEST
PRACTICES
BRANDON LAMBERT, SR. MANAGER
MICHAEL ROWLEY, PRINCIPAL CONSULTANT
AMERICAS SOLUTIONS AND PRODUCTS
WEBTECH EDUCATIONAL SERIES
HITACHI DYNAMIC TIERING (HDT): AN IN-DEPTH LOOK AT MANAGING
HDT AND BEST PRACTICES, PART 2 OF 2
Hitachi Dynamic Tiering simplifies storage administration by automatically optimizing data
placement in 1, 2, or 3 tiers of storage that can be defined and used within a single virtual
volume. Tiers of storage can be made up of internal or external (virtualized) storage, and
use of HDT can lower capital costs. Simplified and unified management of HDT allows for
lower operational costs and reduces the challenges of ensuring applications are placed
on the appropriate classes of storage.
By attending this webcast, you will

‱

Hear about what makes Hitachi Dynamic Tiering a unique storage management tool
that enables storage administrators to meet performance requirements at lower costs
than traditional tiering methods.

‱

Understand various strategies to consider when monitoring application performance
and relocating pages to appropriate tiers without manual intervention.

‱

Learn how to use Hitachi Command Suite (HCS) to manage, monitor and report on an
HDT environment, and how HCS manages related storage environments.
AGENDA

 The HDT lifecycle

 HDT performance basics
 HDT basic guidelines
 Monitoring HDT with Hitachi Tuning Manager
AGENDA

 The HDT lifecycle

 HDT performance basics
 HDT basic guidelines
 Monitoring HDT with Hitachi Tuning Manager
HDT LIFECYCLE
Plan

Turn on
HDT Heat
Maps

What to
Monitor
and Cycle

Implement

Build HDT
Pools
Add Daily
Monitoring

Design HDT
Environment
Implement

Daily Operations
(Monitor/Report)

Cont.
Daily
Monitor
(Alarm)

Capacity
Trend/Plan

Tune
Configuration
(HW, Cycle, Ap
ps, Policies)

Migrate
Into Pools

Consider
HW Limits
Historical
Performance
Trend

Adjust
Configuration
Basic Trend Report
(Cap./Perf.)

Relocation
Reporting
(Gradual
or Erratic)

Performance
Trend/
Troubleshoot
AGENDA

 The HDT lifecycle

 HDT performance basics
 HDT basic guidelines
 Monitoring HDT with Hitachi Tuning Manager
HDT PERFORMANCE MONITORING
 Back-end I/O (read and write) counted per page
during the monitor period

IOPH

25

 Monitor ignores “RAID I/O” (parity I/O)

20

 Count of IOPH for the cycle (period mode)
or a weighted average (continuous mode)

DP-VOLs

15

 HDT orders pages by counts high to low
to create a distribution function
‒ IOPH vs. terabytes
 Monitor analysis is performed to determine the
IOPH values that separate the tiers

Monitoring

10
5

0
Page 1

25

Page 999

Pool

20

Aggregate the Data
15

SN2

Analysis

10
5
0
Capacity 1

Capacity nnn
POOL TIER PROPERTIES
What is being used
now in the pool in
terms of capacity
and performance
Can display just the
performance graph
for a tiering policy
The I/O
distribution across
all pages in the
pool. Combined
with the tier
range, HDT
decides where the
pages should go
CAUTION ABOUT PERFORMANCE
UTILIZATION (P%)










P% is only an approximation of tier utilization
It is based on assumptions of read/write ratios (50-50)
P% does not factor in RAID I/O (parity I/O)
It should not be used to calculate I/O counts
It should not be used to determine relative utilization at lower P% values
- P% is not accurate enough for comparing small differences
P% is only used to signal that a tier may be overutilized
P% cannot absolutely report that a problem exists
Ignore P% unless it is over 60%
Prior to V04+a continuous modes, P% uses the weighted average IOPH
values. In V04+A continuous mode uses the monitoring result of the last
cycle (period mode value) for calculating P% performance utilization

A better measure of actual tier utilization is to use parity group utilization
TIER RANGE VALUES

 Tier range values dynamically change according to
workload
 Tier range values are always calculated to keep upper
tiers generally full
 Pages compete for upper tiers. Pages can be pushed
down if more aggressive workloads come on the scene

 Pages that do not remain “hot enough” (competitive) will
demote
 Newly active data on dormant (or new) pages or
migrated volumes will need protection

-

Policy settings work well
AGENDA

 The HDT lifecycle

 HDT performance basics
 HDT basic guidelines
 Monitoring HDT with Hitachi Tuning Manager
CHOOSING A MONITOR STRATEGY:
RECOMMENDED START POINT
 Start with continuous mode
 Start with automatic
 Start with 8-hour
 Investigate Hitachi Tiered Storage Manager for custom scheduling of
monitor and relocation cycles
CHOOSING A MONITOR STRATEGY
 Use tiering policies to protect or restrict tier use
 3-tier pool
‒ Liberally use ALL
‒ Use level 4 if Tier 1 use should be restricted (not used) and when Tier 2 is
well configured
‒ Note that incorrectly using level 5 will cause performance issues
‒ Levels 1 and 2 can cause overcommitment (and waste) of Tier 1
‒ Levels 2, 3, and 4 can overcommit Tier 2

 2-tier pool
‒ Liberally use ALL
‒ Liberally use level 4 (or 3 or 5) if Tier 1 use should be restricted (not used)
and when Tier 2 is well configured
RELOCATION RATES

 Standard relocation throughput is about 3TB/day
 Write pending and MP utilization rate influences the
pace of page relocation
‒ When WritePending is 55%, 20-second wait is inserted per page
‒ MP utilization rate influences pacing
‒
‒
‒
‒
‒

60% or more: 6 pages or less in 5 seconds
50-60%: 8 pages or less in 5 seconds
40-50%: 10 pages or less in 5 seconds
30-40%: 12 pages or less in 5 seconds
30% or less: Unlimited

 When SOM904 is ON, only 1 page is relocated per
second
‒ For example, when page migration takes 600 ms, the next page
migration starts after sleep for 400 ms (1,000 ms - 600 ms)

‒ If page migration takes 1 second or more, the next page migration
starts without sleep procedure.
‒ HDT relocate pages in less than 40MB/sec
HDT TUNING SUMMARY
 HDT tunes tier ranges dynamically (neither Hitachi Tuning Manager
((HTnM)) or Hitachi Tiered Storage Manager ((HTSM)) is used)
 If a tier P% approaches 60% utilization, we aim to move I/O down a tier

‒ 60% sustained I/O to accommodate peaks and prevent queuing
‒ Tier range is increased, reducing the tier’s utilized capacity. All of the tier
capacity will not be used – but that is better than overloading the tier
with too much IOPH

 If all tiers are over (60%/60%/60%), the pool is over utilized − tier ranges
are increased again to share the problem
 You can’t “lose storage” but you might put more I/O into a pool than it can
handle

 You should be looking for these situations, evaluating the issues, and
adding capacity
HDT TUNING SUMMARY

 Do not underestimate the importance of Tier-3
performance
‒ HDT will relocate dormant pages to Tier 3. If these pages
become active, Tier 3 must perform well enough to cope with
some host I/O and relocation I/O

 Tiering policy can be used to help or hinder
‒ Helps
 Use level 3 or 4 to stage data into Tier 2 before it is needed
 Use level 1 or 2 to stage important data before “Mondays”
‒ Hinders
 When using level 1-4 on dormant data
 Leaving level 1 or 2 set too long

 T% and R% should not be changed unless needed to
artificially reduce capacity
TIER SIZE MATTERS
POOL CONSUMPTION MATTERS
AGENDA

 The HDT lifecycle

 HDT performance basics
 HDT basic guidelines
 Monitoring HDT with Hitachi Tuning Manager
HDT AND HTNM
WHAT'S AVAILABLE TODAY

 All HDT-level reporting in HTnM is in Performance
Reporter
‒ Some point-in-time metrics are fed into Mobility

 All HDT reports are custom created
 A set of custom reports are included with this
presentation
HDT AND HTNM
WHAT'S AVAILABLE TODAY

 Nine tables in Performance Reporter for HDP/HDT are
‒ VVOL Tier Type Configuration (Individual DP-VOL capacity info by
tier)
‒ VVOL Tier Type I/O Information (Individual DP-VOL performance
metrics by tier)
‒ HDP Pool Configuration (Design and Capacity Info)
‒ Pool Summary (Total Pool Performance Info)
‒ Pool Tier Type Configuration (HDT Pool Design and Capacity)
‒ Pool Page Relocation (HDT Pool Relocation Info)

‒ Pool Tier Page Relocation (HDT Tier Relocation Info)
‒ Pool Tier Type IO Information (HDT Tier Performance Info)
‒ Pool Tier Type Operation Status (HDT Tier Performance Info)
HDT CAPACITY MANAGEMENT AT THE POOL
HDP/HDT POOL UTILIZATION – USEFUL FIELDS

Physical Used
Time Stamp Type of Pool (HDP/HDT) Provisioned Physical Capacity
for Collection Pool Physical Capacity Capacity
Total Free Physical Capacity %
Used
(Collected Every 8 Hours by
Default)
HDT CAPACITY MANAGEMENT AT THE POOL
HDP/HDT POOL UTILIZATION – NOTES

 Reports on both HDP and HDT pools
 Capacity metrics are in gigabytes
 Using historical information in HTnM, reports detailing
growth of the pool can be used for capacity trend
analysis
 Alerts can be set for pools including usage percentage
and status as warnings for out-of-space conditions
beyond alerts set in HDvM and SN2
HDT CAPACITY MANAGEMENT AT THE POOL
HDT POOL UTILIZATION BY TIER– USEFUL FIELDS

Physical Physical Tier Capacity Used
Tier Capacity Used
Media composition Used Tier Physical Capacity
Free Tier Physical TierTotal Tier Physical Capacity
by Capacity
as % ofPercentage of Tier
as Pool
HDT CAPACITY MANAGEMENT AT THE POOL
HDT POOL UTILIZATION BY TIER – NOTES

 Capacity metrics are in gigabytes
 Trend of size and usage of storage tiers can be obtained
by trending total capacity, used capacity, usage
percentage in pool, or usage percentage in tier
 Alerts can be set for lower tiers to flag high capacity
usage percentage for review. Low tiers by default have
lowest utilization percentage due to HDT standard of
writing to higher tiers first
HDT CAPACITY AT THE DP-VOL
HDT V-VOL UTILIZATION BY TIER – USEFUL FIELDS

LDEV NumberPercent of in tierV-VOL
Size of volume used (in MB)
Tier Number
capacity on each tier.
HDT CAPACITY AT THE DP-VOL
HDT V-VOL UTILIZATION BY TIER - NOTES

 Large capacity proportion (85+%) in single tier may
indicate HDT is not suitable for data type. Investigation of
data workload/type and comparison to other workloads in
pool is suggested
 Large capacity proportion in high tier may indicate a need
for verification of data type on volume
‒ If high-performing but low-value data, use of tiering policy
may eliminate waste

 A historical trend of capacity movement between tiers on
V-VOL may indicate a poor candidate for HDT or a
different HDT architecture required for volume
HDT PERFORMANCE AT THE POOL
HDT POOL IOPS BY TIER – USEFUL FIELDS

Average IOPS Per Tier
HDT PERFORMANCE AT THE POOL
HDT POOL IOPS BY TIER – NOTES

 Data is collected every 15 minutes
 IOPS per tier can be used for historical data analysis and
trending
‒ View IOPS growth per tier over time
‒ Find tiers that are busy during specific cycles
‒ Batch vs. transaction
‒ Backups
‒ Database maintenance
‒ Business vs. after hours
HDT PERFORMANCE AT THE POOL
HDT POOL PERFORMANCE BY TIER – USEFUL FIELDS

Average IOPS PerIOPS Percentage
Average Tier
Utilization Per Tier
HDT PERFORMANCE AT THE POOL
HDT POOL PERFORMANCE BY TIER – NOTES

 Data is collected every monitoring period
 Average IOPS utilization percentage per tier is number of
IOPS processed per tier compared with total IOPS per
tier possible as defined by storage array (same as
performance utilization (P%) in SN2)

 Allows trending of IOPS and tier utilization over time
 Alerts can be set on utilization to monitor when tier gets
to standard load-sharing thresholds (60%) or
overutilization point
HDT PERFORMANCE AT THE POOL
HDT POOL PERFORMANCE BY TIER – NOTES

 Average IOPS utilization percentage provides general insight on
whether HDT design is correct

‒ High IOPS utilization in Tier 1 or 2 indicates Tier 1 may need
additional drives/parity groups to support additional performance
needs
‒ High IOPS utilization in Tier 3 indicates Tier 1 and/or 2 may need
additional drives/parity groups to support additional performance
needs
‒ Low IOPS utilization in a single tier indicates tier may be too large
and can be maintained/reduced in subsequent pool changes
‒ Balanced IOPS utilization under 60% indicates a well-designed
HDT pool
‒ Balanced IOPS utilization over 60% indicates a pool running low
on performance growth capability
HDT PERFORMANCE AT THE DP-VOL
HDT V-VOL PERFORMANCE BY TIER – USEFUL FIELDS

Average IOPS Per Tier Per
V-VOL
HDT PERFORMANCE AT THE DP-VOL
HDT V-VOL PERFORMANCE BY TIER – NOTES

 Metrics collected every 15 minutes
 Provides insight into how IOPS count is broken out by tier
of storage per V-VOL
 Can be used to look at specific V-VOL or application use
of tiers of storage over historical periods
 High IOPS count in low tier of storage with high
concentration of pages in same tier may indicate
additional research to determine if volume or application
is good candidate for HDT
‒ Assuming tiering policy is not in place for V-VOL
HDT RELOCATION MONITORING
HDT POOL RELOCATION STATUS – USEFUL FIELDS

Pages Moved During
Relocation Progress
Relocation Cycle
Percentage During
Relocation Cycle

Relocation Start and Stop
Time
HDT RELOCATION MONITORING
HDT POOL RELOCATION STATUS - NOTES

 Collected after each relocation period
 Progress percentage can be used in alerting customer if
relocation didn’t complete
 Relocation start and end times define how long a
relocation cycle takes
 Relocation cycles that barely finish during relocation
window may indicate collection/relocation configuration
needs adjustment

 Time between relocation start and end divided by number
of pages moved indicates page movement speed (rule of
thumb is ~35 MB/sec)
HDT RELOCATION MONITORING
HDT POOL TIER RELOCATION INFORMATION – USEFUL FIELDS

Promoted and Demoted
Pages by Tier
HDT RELOCATION MONITORING
HDT POOL TIER RELOCATION INFORMATION − NOTES

 Collected after each relocation period
 Promoted pages defines how many pages were
promoted out of this tier
 Demoted pages defines how many pages were demoted
out of this tier
QUESTIONS AND
DISCUSSION
UPCOMING WEBTECHS
 2013 WebTechs
‒ Upgrade Your Enterprise with Hitachi Data Systems, December
4, 9 a.m. PT, noon ET

‒ 2014 schedule to be published soon.

Check www.hds.com/webtech for
 Links to the recording, the presentation, and Q&A (available next
week)
 Schedule and registration for upcoming WebTech sessions
 Questions will be posted in the HDS Community:
http://community.hds.com/groups/webtech
THANK YOU

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Hitachi Dynamic Tiering: An In-Depth Look at Managing HDT and Best Practices, Part 2 of 2

  • 1. HITACHI DYNAMIC TIERING (HDT): AN IN-DEPTH LOOK AT MANAGING HDT AND BEST PRACTICES BRANDON LAMBERT, SR. MANAGER MICHAEL ROWLEY, PRINCIPAL CONSULTANT AMERICAS SOLUTIONS AND PRODUCTS
  • 2. WEBTECH EDUCATIONAL SERIES HITACHI DYNAMIC TIERING (HDT): AN IN-DEPTH LOOK AT MANAGING HDT AND BEST PRACTICES, PART 2 OF 2 Hitachi Dynamic Tiering simplifies storage administration by automatically optimizing data placement in 1, 2, or 3 tiers of storage that can be defined and used within a single virtual volume. Tiers of storage can be made up of internal or external (virtualized) storage, and use of HDT can lower capital costs. Simplified and unified management of HDT allows for lower operational costs and reduces the challenges of ensuring applications are placed on the appropriate classes of storage. By attending this webcast, you will ‱ Hear about what makes Hitachi Dynamic Tiering a unique storage management tool that enables storage administrators to meet performance requirements at lower costs than traditional tiering methods. ‱ Understand various strategies to consider when monitoring application performance and relocating pages to appropriate tiers without manual intervention. ‱ Learn how to use Hitachi Command Suite (HCS) to manage, monitor and report on an HDT environment, and how HCS manages related storage environments.
  • 3. AGENDA  The HDT lifecycle  HDT performance basics  HDT basic guidelines  Monitoring HDT with Hitachi Tuning Manager
  • 4. AGENDA  The HDT lifecycle  HDT performance basics  HDT basic guidelines  Monitoring HDT with Hitachi Tuning Manager
  • 5. HDT LIFECYCLE Plan Turn on HDT Heat Maps What to Monitor and Cycle Implement Build HDT Pools Add Daily Monitoring Design HDT Environment Implement Daily Operations (Monitor/Report) Cont. Daily Monitor (Alarm) Capacity Trend/Plan Tune Configuration (HW, Cycle, Ap ps, Policies) Migrate Into Pools Consider HW Limits Historical Performance Trend Adjust Configuration Basic Trend Report (Cap./Perf.) Relocation Reporting (Gradual or Erratic) Performance Trend/ Troubleshoot
  • 6. AGENDA  The HDT lifecycle  HDT performance basics  HDT basic guidelines  Monitoring HDT with Hitachi Tuning Manager
  • 7. HDT PERFORMANCE MONITORING  Back-end I/O (read and write) counted per page during the monitor period IOPH 25  Monitor ignores “RAID I/O” (parity I/O) 20  Count of IOPH for the cycle (period mode) or a weighted average (continuous mode) DP-VOLs 15  HDT orders pages by counts high to low to create a distribution function ‒ IOPH vs. terabytes  Monitor analysis is performed to determine the IOPH values that separate the tiers Monitoring 10 5 0 Page 1 25 Page 999 Pool 20 Aggregate the Data 15 SN2 Analysis 10 5 0 Capacity 1 Capacity nnn
  • 8. POOL TIER PROPERTIES What is being used now in the pool in terms of capacity and performance Can display just the performance graph for a tiering policy The I/O distribution across all pages in the pool. Combined with the tier range, HDT decides where the pages should go
  • 9. CAUTION ABOUT PERFORMANCE UTILIZATION (P%)          P% is only an approximation of tier utilization It is based on assumptions of read/write ratios (50-50) P% does not factor in RAID I/O (parity I/O) It should not be used to calculate I/O counts It should not be used to determine relative utilization at lower P% values - P% is not accurate enough for comparing small differences P% is only used to signal that a tier may be overutilized P% cannot absolutely report that a problem exists Ignore P% unless it is over 60% Prior to V04+a continuous modes, P% uses the weighted average IOPH values. In V04+A continuous mode uses the monitoring result of the last cycle (period mode value) for calculating P% performance utilization A better measure of actual tier utilization is to use parity group utilization
  • 10. TIER RANGE VALUES  Tier range values dynamically change according to workload  Tier range values are always calculated to keep upper tiers generally full  Pages compete for upper tiers. Pages can be pushed down if more aggressive workloads come on the scene  Pages that do not remain “hot enough” (competitive) will demote  Newly active data on dormant (or new) pages or migrated volumes will need protection - Policy settings work well
  • 11. AGENDA  The HDT lifecycle  HDT performance basics  HDT basic guidelines  Monitoring HDT with Hitachi Tuning Manager
  • 12. CHOOSING A MONITOR STRATEGY: RECOMMENDED START POINT  Start with continuous mode  Start with automatic  Start with 8-hour  Investigate Hitachi Tiered Storage Manager for custom scheduling of monitor and relocation cycles
  • 13. CHOOSING A MONITOR STRATEGY  Use tiering policies to protect or restrict tier use  3-tier pool ‒ Liberally use ALL ‒ Use level 4 if Tier 1 use should be restricted (not used) and when Tier 2 is well configured ‒ Note that incorrectly using level 5 will cause performance issues ‒ Levels 1 and 2 can cause overcommitment (and waste) of Tier 1 ‒ Levels 2, 3, and 4 can overcommit Tier 2  2-tier pool ‒ Liberally use ALL ‒ Liberally use level 4 (or 3 or 5) if Tier 1 use should be restricted (not used) and when Tier 2 is well configured
  • 14. RELOCATION RATES  Standard relocation throughput is about 3TB/day  Write pending and MP utilization rate influences the pace of page relocation ‒ When WritePending is 55%, 20-second wait is inserted per page ‒ MP utilization rate influences pacing ‒ ‒ ‒ ‒ ‒ 60% or more: 6 pages or less in 5 seconds 50-60%: 8 pages or less in 5 seconds 40-50%: 10 pages or less in 5 seconds 30-40%: 12 pages or less in 5 seconds 30% or less: Unlimited  When SOM904 is ON, only 1 page is relocated per second ‒ For example, when page migration takes 600 ms, the next page migration starts after sleep for 400 ms (1,000 ms - 600 ms) ‒ If page migration takes 1 second or more, the next page migration starts without sleep procedure. ‒ HDT relocate pages in less than 40MB/sec
  • 15. HDT TUNING SUMMARY  HDT tunes tier ranges dynamically (neither Hitachi Tuning Manager ((HTnM)) or Hitachi Tiered Storage Manager ((HTSM)) is used)  If a tier P% approaches 60% utilization, we aim to move I/O down a tier ‒ 60% sustained I/O to accommodate peaks and prevent queuing ‒ Tier range is increased, reducing the tier’s utilized capacity. All of the tier capacity will not be used – but that is better than overloading the tier with too much IOPH  If all tiers are over (60%/60%/60%), the pool is over utilized − tier ranges are increased again to share the problem  You can’t “lose storage” but you might put more I/O into a pool than it can handle  You should be looking for these situations, evaluating the issues, and adding capacity
  • 16. HDT TUNING SUMMARY  Do not underestimate the importance of Tier-3 performance ‒ HDT will relocate dormant pages to Tier 3. If these pages become active, Tier 3 must perform well enough to cope with some host I/O and relocation I/O  Tiering policy can be used to help or hinder ‒ Helps  Use level 3 or 4 to stage data into Tier 2 before it is needed  Use level 1 or 2 to stage important data before “Mondays” ‒ Hinders  When using level 1-4 on dormant data  Leaving level 1 or 2 set too long  T% and R% should not be changed unless needed to artificially reduce capacity
  • 19. AGENDA  The HDT lifecycle  HDT performance basics  HDT basic guidelines  Monitoring HDT with Hitachi Tuning Manager
  • 20. HDT AND HTNM WHAT'S AVAILABLE TODAY  All HDT-level reporting in HTnM is in Performance Reporter ‒ Some point-in-time metrics are fed into Mobility  All HDT reports are custom created  A set of custom reports are included with this presentation
  • 21. HDT AND HTNM WHAT'S AVAILABLE TODAY  Nine tables in Performance Reporter for HDP/HDT are ‒ VVOL Tier Type Configuration (Individual DP-VOL capacity info by tier) ‒ VVOL Tier Type I/O Information (Individual DP-VOL performance metrics by tier) ‒ HDP Pool Configuration (Design and Capacity Info) ‒ Pool Summary (Total Pool Performance Info) ‒ Pool Tier Type Configuration (HDT Pool Design and Capacity) ‒ Pool Page Relocation (HDT Pool Relocation Info) ‒ Pool Tier Page Relocation (HDT Tier Relocation Info) ‒ Pool Tier Type IO Information (HDT Tier Performance Info) ‒ Pool Tier Type Operation Status (HDT Tier Performance Info)
  • 22. HDT CAPACITY MANAGEMENT AT THE POOL HDP/HDT POOL UTILIZATION – USEFUL FIELDS Physical Used Time Stamp Type of Pool (HDP/HDT) Provisioned Physical Capacity for Collection Pool Physical Capacity Capacity Total Free Physical Capacity % Used (Collected Every 8 Hours by Default)
  • 23. HDT CAPACITY MANAGEMENT AT THE POOL HDP/HDT POOL UTILIZATION – NOTES  Reports on both HDP and HDT pools  Capacity metrics are in gigabytes  Using historical information in HTnM, reports detailing growth of the pool can be used for capacity trend analysis  Alerts can be set for pools including usage percentage and status as warnings for out-of-space conditions beyond alerts set in HDvM and SN2
  • 24. HDT CAPACITY MANAGEMENT AT THE POOL HDT POOL UTILIZATION BY TIER– USEFUL FIELDS Physical Physical Tier Capacity Used Tier Capacity Used Media composition Used Tier Physical Capacity Free Tier Physical TierTotal Tier Physical Capacity by Capacity as % ofPercentage of Tier as Pool
  • 25. HDT CAPACITY MANAGEMENT AT THE POOL HDT POOL UTILIZATION BY TIER – NOTES  Capacity metrics are in gigabytes  Trend of size and usage of storage tiers can be obtained by trending total capacity, used capacity, usage percentage in pool, or usage percentage in tier  Alerts can be set for lower tiers to flag high capacity usage percentage for review. Low tiers by default have lowest utilization percentage due to HDT standard of writing to higher tiers first
  • 26. HDT CAPACITY AT THE DP-VOL HDT V-VOL UTILIZATION BY TIER – USEFUL FIELDS LDEV NumberPercent of in tierV-VOL Size of volume used (in MB) Tier Number capacity on each tier.
  • 27. HDT CAPACITY AT THE DP-VOL HDT V-VOL UTILIZATION BY TIER - NOTES  Large capacity proportion (85+%) in single tier may indicate HDT is not suitable for data type. Investigation of data workload/type and comparison to other workloads in pool is suggested  Large capacity proportion in high tier may indicate a need for verification of data type on volume ‒ If high-performing but low-value data, use of tiering policy may eliminate waste  A historical trend of capacity movement between tiers on V-VOL may indicate a poor candidate for HDT or a different HDT architecture required for volume
  • 28. HDT PERFORMANCE AT THE POOL HDT POOL IOPS BY TIER – USEFUL FIELDS Average IOPS Per Tier
  • 29. HDT PERFORMANCE AT THE POOL HDT POOL IOPS BY TIER – NOTES  Data is collected every 15 minutes  IOPS per tier can be used for historical data analysis and trending ‒ View IOPS growth per tier over time ‒ Find tiers that are busy during specific cycles ‒ Batch vs. transaction ‒ Backups ‒ Database maintenance ‒ Business vs. after hours
  • 30. HDT PERFORMANCE AT THE POOL HDT POOL PERFORMANCE BY TIER – USEFUL FIELDS Average IOPS PerIOPS Percentage Average Tier Utilization Per Tier
  • 31. HDT PERFORMANCE AT THE POOL HDT POOL PERFORMANCE BY TIER – NOTES  Data is collected every monitoring period  Average IOPS utilization percentage per tier is number of IOPS processed per tier compared with total IOPS per tier possible as defined by storage array (same as performance utilization (P%) in SN2)  Allows trending of IOPS and tier utilization over time  Alerts can be set on utilization to monitor when tier gets to standard load-sharing thresholds (60%) or overutilization point
  • 32. HDT PERFORMANCE AT THE POOL HDT POOL PERFORMANCE BY TIER – NOTES  Average IOPS utilization percentage provides general insight on whether HDT design is correct ‒ High IOPS utilization in Tier 1 or 2 indicates Tier 1 may need additional drives/parity groups to support additional performance needs ‒ High IOPS utilization in Tier 3 indicates Tier 1 and/or 2 may need additional drives/parity groups to support additional performance needs ‒ Low IOPS utilization in a single tier indicates tier may be too large and can be maintained/reduced in subsequent pool changes ‒ Balanced IOPS utilization under 60% indicates a well-designed HDT pool ‒ Balanced IOPS utilization over 60% indicates a pool running low on performance growth capability
  • 33. HDT PERFORMANCE AT THE DP-VOL HDT V-VOL PERFORMANCE BY TIER – USEFUL FIELDS Average IOPS Per Tier Per V-VOL
  • 34. HDT PERFORMANCE AT THE DP-VOL HDT V-VOL PERFORMANCE BY TIER – NOTES  Metrics collected every 15 minutes  Provides insight into how IOPS count is broken out by tier of storage per V-VOL  Can be used to look at specific V-VOL or application use of tiers of storage over historical periods  High IOPS count in low tier of storage with high concentration of pages in same tier may indicate additional research to determine if volume or application is good candidate for HDT ‒ Assuming tiering policy is not in place for V-VOL
  • 35. HDT RELOCATION MONITORING HDT POOL RELOCATION STATUS – USEFUL FIELDS Pages Moved During Relocation Progress Relocation Cycle Percentage During Relocation Cycle Relocation Start and Stop Time
  • 36. HDT RELOCATION MONITORING HDT POOL RELOCATION STATUS - NOTES  Collected after each relocation period  Progress percentage can be used in alerting customer if relocation didn’t complete  Relocation start and end times define how long a relocation cycle takes  Relocation cycles that barely finish during relocation window may indicate collection/relocation configuration needs adjustment  Time between relocation start and end divided by number of pages moved indicates page movement speed (rule of thumb is ~35 MB/sec)
  • 37. HDT RELOCATION MONITORING HDT POOL TIER RELOCATION INFORMATION – USEFUL FIELDS Promoted and Demoted Pages by Tier
  • 38. HDT RELOCATION MONITORING HDT POOL TIER RELOCATION INFORMATION − NOTES  Collected after each relocation period  Promoted pages defines how many pages were promoted out of this tier  Demoted pages defines how many pages were demoted out of this tier
  • 40. UPCOMING WEBTECHS  2013 WebTechs ‒ Upgrade Your Enterprise with Hitachi Data Systems, December 4, 9 a.m. PT, noon ET ‒ 2014 schedule to be published soon. Check www.hds.com/webtech for  Links to the recording, the presentation, and Q&A (available next week)  Schedule and registration for upcoming WebTech sessions  Questions will be posted in the HDS Community: http://community.hds.com/groups/webtech